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2000
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Segmentation of artery wall in coronary IVUS images: A Probabilistic Approach

9 years 7 months ago
Segmentation of artery wall in coronary IVUS images: A Probabilistic Approach
Intravascular ultrasound images represent a unique tool to analyze the morphology of arteries and vessels (plaques, etc). The poor quality of these images makes traditional segmentation algorithms (such as edge detection) fail to achieve the expected results. In this paper we present a probabilistic flexible template to separate different regions in the image. In particular, we use elliptic templates to model and detect the shape of the vessel inner wall in IVUS images. The use of elliptic templates forces a global probabilistic approach, that makes use of image statistics inside regions. We present the results of successful segmentation obtained from 12 patients undergoing stent treatment. A physician team has validated these results.
Debora Gil, Petia Radeva, Jordi Saludes
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2000
Where ICPR
Authors Debora Gil, Petia Radeva, Jordi Saludes
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